About the Event
Join the discussion
- How do teams manage the enormous datasets of medical images and videos needed to train accurate AI?
- How should you incorporate medical specialists into real-time AI development?
- How can you prioritise data security and compliance whilst accelerating model development?
By 2025, around 90% of all healthcare organizations will be using AI-powered technology for tasks such as diagnosis and patient monitoring. Despite the incredible potential for new AI solutions to optimize and advance medical practices, an overwhelming number of companies in this space fail within the first 5 years. That's why we've invited senior experts from AWS and Franklin.ai to reveal how they overcome the greatest challenges facing AI-first healthcare products.
In this webinar, we draw together insights from these experts on developing successful medical AI, the best practices for building healthcare AI, and overcoming the biggest challenges facing teams in this space.
Hosted by
What to expect
A discussion on the current and future demands of Medical AI.
An overview of how Frankin.ai is leveraging the power of AI in pathology to benefit millions of patients every day.
Insights from AWS and Franklin.ai on three of the biggest hurdles to building successful AI for healthcare.
A live Q&A session.
Hosted by
We’re leading the era of AI-first software
We help companies build software driven by deep learning, to make it accurate, reliable, and indistinguishable from magic.
Check out similar events
